Giulia Calvi


2025

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The Leibniz List as Linguistic Linked Data in the LiLa Knowledge Base
Lisa Sophie Albertelli | Giulia Calvi | Francesco Mambrini
Proceedings of the 5th Conference on Language, Data and Knowledge

35 This paper presents the integration of the Leibniz List, a concept list from the Concepticon project, into the LiLa Knowledge Base of Latin interoperable resources. The modeling experiment was conducted using W3C standards like Ontolex and SKOS. This work, which originated in a project for a university course, is limited to a short list of words, but it already enables interoperability between the Concepticon and the language resources in a LOD architecture like LiLa. The integration enriches the LiLa ecosystem, allowing users to explore Latin lexicon from an onomasiological perspective and links concepts to lexical entries from various dictionaries and corpus attestations. The work showcases how standard Semantic Web technologies can effectively model and connect historical concept lists within larger linguistic knowledge infrastructures and provides an example for further experiments with the Concepticon’s data.

2024

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Combining Universal Dependencies and FrameNet to Identify Constructions in a Poetic Corpus: Syntax and Semantics of Latin Felix and Infelix in Virgilian Poetics
Giulia Calvi | Riccardo Ginevra | Federica Iurescia
Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024)

The paper is a pilot study which argues for a constructionist and computer-based approach to the syntactic and semantic analysis of a poetic corpus in Latin. We focus on the terms felix and on its opposite infelix and perform manual annotation of their occurrences in Virgil’s poems using Universal Dependencies for the syntactic analysis and FrameNet for the semantic one. Integrating the approaches of Dependency Syntax and Construction Grammar, we analyze the linguistic contexts in which the two terms occur and identify the different “constructions” (pairings of form and function) that they instantiate. Our methodology is language-independent and has the potential to aid scholars in the comparative analysis of poetic texts, allowing for the detection of hidden parallels in the style and poetics of different texts and authors.